The group in charge of the company’s central cloud operations is their Cloud Center of Excellence team
This process took weeks to complete. If the results of their investigation were not clear-cut, the projects were labeled as “undecided
The time had come to mechanize this tedious procedure
It made sense to follow the Google Cloud team’s suggestion to prototype their project using BigQuery ML instead
they had to spend up to three hours training various algorithms for testing using Python Scikit-learn each time they discovered that they weren’t accurate enough
they can examine the code sequence and provide an explanation in five minutes using BigQuery ML
This work becomes much more accessible with BigQuery ML, even for those without years of experience with machine learning